Hi! My name is Martin Carrington. I am a data scientist and python developer. I have a strong mathematical background from academia, and demonstrated experience in industry with extracting valuable insights from complex datasets.
Since December 2021, I have been working as a data scientst for Kaiser Permanente, the healthcare company.
Before that, I worked as a data scientist/quant for the crypto-fintech startup fabriik.com. I worked on crypto trading strategy development and helped create their infrastructure.
I was a Fellow at The Data Incubator from January to March 2020. The Data Incubator offers an 8-week educational fellowship preparing students for careers in data science. Topics include: SQL, PySpark, Neural Networks (Tensorflow), Scikit-Learn, Data Visualization, Algorithms.
Link to capstone project.
I completed a master's degree at the University of Toronto in computer science. I was part of the SysNet group. I worked on a mathematical model of community formation in social networks. My work led to a publication at GameNets 2019, a conference dedicated to using game theory to understand networks:
Community Structures in Information Networks (pdf here)
I majored in physics (minor in mathematics). My undergraduate research thesis was is in computational astrophysics.
I used and contributed to the open-source MESA
software to model the effects of a star's rotation on its evolution.
Stellar evolution modeling is a very interesting business because it
brings together many different fields of study: numerical analysis,
nuclear/quantum physics, fluid dynamics, classical mechanics and more.
- Data science/machine learning
- (Convex) Optimization
- Modeling social dynamics
- Stellar evolution modeling (computational astrophysics)
Medium blog: https://medium.com/@martincs14
Matlab app: https://www.mathworks.com/matlabcentral/fileexchange/72789-ez-easy-plotter